In probability, what does a Compound Event consist of?

A compound event in probability refers to an event that combines two or more individual events. Specifically, in the context of the correct answer, it is characterized by the presence of two or more independent events. Independent events are those where the outcome of one event does not affect the outcome of the other. For instance, flipping a coin and rolling a die results in independent events because the coin flip does not influence the die roll.

Understanding compound events is essential in probability as it helps in calculating the likelihood of various combinations of outcomes occurring. For example, if you wanted to determine the probability of both flipping heads on a coin and rolling a four on a die, you would look at these as two separate independent events forming a compound event.

In contrast, a compound event involving dependent events would depend on the outcomes of other events, which is not the case here. Thus, the key feature that defines compound events is the combination of two or more independent outcomes that can be analyzed collectively.